Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/70495
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dc.contributor.authorKravchuk, O.en
dc.contributor.authorHu, J.en
dc.date.issued2008en
dc.identifier.citationCommunications in Statistics-simulation and Computation, 2008; 37(6):1052-1063en
dc.identifier.issn0361-0918en
dc.identifier.issn1532-4141en
dc.identifier.urihttp://hdl.handle.net/2440/70495-
dc.description.abstractThe generalized secant hyperbolic distribution (GSHD) was recently introduced as a modeling tool in data analysis. The GSHD is a unimodal distribution that is completely specified by location, scale, and shape parameters. It has also been shown elsewhere that the rank procedures of location are regular, robust, and asymptotically fully efficient. In this article, we study certain tail weight measures for the GSHD and introduce a tail-adaptive rank procedure of location based on those tail weight measures. We investigate the properties of the new adaptive rank procedure and compare it to some conventional estimators.en
dc.description.statementofresponsibilityO. Y. Kravchuk and J. Huen
dc.language.isoenen
dc.publisherMarcel Dekker Incen
dc.rightsCopyright © Taylor & Francis Group, LLCen
dc.subjectAdaptive rank estimator; Generalized secant hyperbolic distribution; location problem; tail weighten
dc.titleTail-adaptive Location Rank Test for the Generalized Secant Hyperbolic Distributionen
dc.typeJournal articleen
dc.identifier.rmid0020114463en
dc.identifier.doi10.1080/03610910802049490en
dc.identifier.pubid26955-
pubs.library.collectionAgriculture, Food and Wine publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidKravchuk, O. [0000-0001-5291-3600]en
Appears in Collections:Agriculture, Food and Wine publications

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